{"id":"W4242878675","doi":"10.1515/iupac.79.1645","title":"Morbidity Survey","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Multidisciplinary approach; Hazard; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Sociology; Social science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007234345,0.0003370111,0.0009363867,0.0001981576,0.00009329869,0.00002056103,0.0001618377,0.000553923,0.006965395],"category_scores_gemma":[0.001608968,0.0002495623,0.0005005511,0.0002036493,0.0000874492,0.00005201796,0.00009317674,0.0006408134,0.00002126276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614618,"about_ca_system_score_gemma":0.001701303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005608418,"about_ca_topic_score_gemma":0.001281088,"domain_scores_codex":[0.9957073,0.001317758,0.0005641902,0.0005128293,0.001480391,0.0004175003],"domain_scores_gemma":[0.9972956,0.00007229158,0.0002054787,0.001139283,0.0008974061,0.0003899992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008233105,0.0002705177,0.00009306628,0.0005350728,0.0002563756,0.00009298928,0.000002027138,6.593847e-8,0.000002412757,5.897514e-7,0.9803001,0.01836446],"study_design_scores_gemma":[0.002058715,0.000278015,0.01770138,0.000754515,0.0002730846,0.00009083669,0.000002728413,0.000001042994,0.000008436909,0.00001976551,0.9785674,0.0002441004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003001511,0.0008097677,0.002218732,0.0006638913,0.001098117,0.0006672611,0.9940928,0.00008544472,0.00006386305],"genre_scores_gemma":[0.00008231497,0.002773299,0.00002503227,0.0004832707,0.001228217,0.00001907691,0.9941058,0.00003923033,0.001243732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01812036,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458149741048512,"score_gpt":0.4668608787198441,"score_spread":0.4222793813093589,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}